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AI tutorials

Practical AI tutorials covering tools, prompting, and reusable automation workflows.

Updated regularly1302 tutorials
Render the “I’m Upping My P(doom)” Claude-Generated Music VideoOn-site tutorial#AI tutorialRender the “I’m Upping My P(doom)” Claude-Generated Music VideoLearn how this Claude Opus 5.5-generated animation project is organized, install its dependencies, render frames through headless Chrome, and combine them with the included song using ffmpeg.Build Fast, Typed Local LLM Decisions with Rizzo FlowOn-site tutorial#AI tutorialBuild Fast, Typed Local LLM Decisions with Rizzo FlowLearn how to install Rizzo Flow, run its local llama.cpp server, and obtain typed boolean, choice, score, and numeric decisions. This tutorial covers the playground, native and Jev-compatible APIs, hardware options, abstention, batching, context limits, security, and practical performance considerations.Sorry, I'm not sure what poster style you want. Send me the full prompt, and I'll help reorganize it.On-site tutorial#AI tutorialSorry, I'm not quite sure what style of poster you want to create. Send me the complete prompt, and I'll help reorganize it.Sorry, I'm not quite sure what style of poster you want to create. Send me the complete prompt, and I'll help reorganize it.Build and Use a Local File Knowledge Base with FastAPI, SQLite, and MCPOn-site tutorial#AI tutorialBuild and Use a Local File Knowledge Base with FastAPI, SQLite, and MCPLearn how to install the FastAPI knowledge base, initialize its SQLite database, authenticate users, upload and organize documents, preview supported files, and connect AI agents through the included read-only MCP service.Three 3D web games generated with Claude Opus 5.5: build and play guideOn-site tutorial#AI tutorialThree 3D Web Games Generated with Claude Opus 5.5: Local Build and Play GuideThis guide introduces the project structure, game features, build process, and controls of claude-opus-5-5-demo, and explains how repository records can be used to verify the performance and stability of single-file 3D web games.Build Reliable Typed LLM Decisions with AnyJevOn-site tutorial#AI tutorialBuild Reliable Typed LLM Decisions with AnyJevLearn how to install AnyJev, define choice, Boolean, and score questions, and obtain structured decisions from an open LLM without generation or fine-tuning. This tutorial also covers zero-label L0 inference, L1 calibration, L2 closed-form heads, batch serving, artifact management, and deployment limitations.How to Use Astra-Ares for Adaptive Reasoning in CodexOn-site tutorial#AI tutorialHow to Use Astra-Ares for Adaptive Reasoning in CodexLearn how to build and configure Astra-Ares, launch its patched Codex CLI, and use Jev to adjust GPT-6 Astra’s reasoning effort between generations. This tutorial also explains leases, bounded evaluator context, diagnostics, provider behavior, and the project’s experimental limitations.[Theme / Exhibition Name] {Fill in, e.g.: Monetary Systems / Phenological Calendars / Musical Tuning Standards / Land Surveying}
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[Core Abstraction]On-site tutorial#AI tutorial[Theme / Exhibition Name] {Fill in, e.g.: Monetary Systems / Phenological Calendars / Musical Tuning Standards / Land Surveying} [Main Title] {Fill in} [Core Abstraction][Theme / Exhibition Name] {Fill in, e.g.: Monetary Systems / Phenological Calendars / Musical Tuning Standards / Land Surveying} [Main Title] {Fill in} [Core Abstraction]Build Async, Durable AI Agent Workflows with Unreal AgentOn-site tutorial#AI tutorialBuild Async, Durable AI Agent Workflows with Unreal AgentThis tutorial explains Unreal Agent’s async-first architecture, repository layout, core components, and event flow. You will learn how inputs become persisted session history, how tool calls translate into asynchronous operations, how to approach setup and usage, and how to extend the harness without violating its serialization and event-loop invariants.How to Find and Evaluate Jev Decision Patterns with awesome-jevOn-site tutorial#AI tutorialHow to Find and Evaluate Jev Decision Patterns with awesome-jevLearn how to use awesome-jev, a searchable catalog of public examples for TypeSafe AI’s Jev decision model. This tutorial covers browsing decision patterns, interpreting primitive and verification metadata, setting up the repository locally, finding trustworthy examples, and applying its evidence-first research workflow.Minimalist graphic illustration based on a provided photo, with cream paper, refined line art, and stippled engraving style…On-site tutorial#AI tutorialA minimalist artistic graphic illustration based on the provided photograph, in a split or standalone style, with a soft cream and off-white textured paper background. The main subject is redrawn in refined minimalist line art and stippled dot-work engraving style…The input seems incomplete; nothing follows the final "prov". Send me the complete sentence, and I can translate it for you.jev-chat-jarvis on macOS for WeChat intent detection and reply draftingOn-site tutorial#AI tutorialUse jev-chat-jarvis on macOS to Identify WeChat Intent, Assess Risk, and Draft RepliesThis tutorial explains how jev-chat-jarvis works, how to install it on macOS, configure permissions and models, use it daily, and customize it for advanced workflows. It helps you handle chats without injecting into WeChat, reading its database, or sending messages automatically.